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Voice activity detection using harmonic frequency components in likelihood ratio test

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3 Author(s)
Lee Ngee Tan ; Department of Electrical Engineering, University of California, Los Angeles, USA ; Bengt J. Borgstrom ; Abeer Alwan

This paper proposes a new statistical model-based likelihood ratio test (LRT) VAD to obtain reliable speech / non-speech decisions. In the proposed method, the likelihood ratio (LR) is calculated differently for voiced frames, as opposed to unvoiced frames: only DFT bins containing harmonic spectral peaks are selected for LR computation. To evaluate the new VAD's effectiveness in improving the noise-robustness of ASR, its decisions are applied to pre-processing techniques such as non-linear spectral subtraction, minimum mean square error short-time spectral amplitude estimator, and frame dropping. From the ASR experiments conducted on the Aurora2 database, the proposed harmonic frequency-based LRTs give better results than conventional LRT-based VADs and the standard G.729B and ETSI AMR VADs.

Published in:

2010 IEEE International Conference on Acoustics, Speech and Signal Processing

Date of Conference:

14-19 March 2010